What is he best known for?
The fields of study he is best known for:
- Electrical engineering
- Artificial intelligence
- Computer network
Abdollah Kavousi-Fard spends much of his time researching Mathematical optimization, Control reconfiguration, AC power, Renewable energy and Wind power.
His research in Mathematical optimization intersects with topics in Fuzzy logic, Support vector machine and Artificial intelligence.
The Artificial intelligence study combines topics in areas such as Electric power industry, Firefly algorithm, Electrical load and Autoregressive–moving-average model.
His research integrates issues of Evolutionary algorithm, Reliability engineering and Voltage in his study of Control reconfiguration.
His Renewable energy study combines topics in areas such as Control engineering, Automotive engineering, Photovoltaic system and Energy management.
His Bat algorithm research is multidisciplinary, relying on both Artificial neural network and Electric power system.
His most cited work include:
- A new hybrid Modified Firefly Algorithm and Support Vector Regression model for accurate Short Term Load Forecasting (245 citations)
- Considering uncertainty in the optimal energy management of renewable micro-grids including storage devices (172 citations)
- Optimal Distribution Feeder Reconfiguration for Reliability Improvement Considering Uncertainty (162 citations)
What are the main themes of his work throughout his whole career to date?
Abdollah Kavousi-Fard focuses on Mathematical optimization, Control reconfiguration, Renewable energy, Wind power and AC power.
Abdollah Kavousi-Fard interconnects Electric power system, Fuzzy logic and Nonlinear system in the investigation of issues within Mathematical optimization.
His Control reconfiguration research is multidisciplinary, incorporating elements of Reliability engineering, Failure rate, Reliability and Automotive engineering.
His Renewable energy study combines topics from a wide range of disciplines, such as Electricity generation, Photovoltaic system, Energy management and Energy storage.
As a part of the same scientific family, Abdollah Kavousi-Fard mostly works in the field of Wind power, focusing on Economic dispatch and, on occasion, Photovoltaics.
His work carried out in the field of AC power brings together such families of science as Multi-objective optimization, Probabilistic logic and Control theory.
He most often published in these fields:
- Mathematical optimization (43.52%)
- Control reconfiguration (24.07%)
- Renewable energy (21.30%)
What were the highlights of his more recent work (between 2019-2021)?
- Microgrid (15.74%)
- Electric power system (15.74%)
- Renewable energy (21.30%)
In recent papers he was focusing on the following fields of study:
Microgrid, Electric power system, Renewable energy, Energy management and Real-time computing are his primary areas of study.
His study explores the link between Electric power system and topics such as Reliability that cross with problems in Islanding.
His Renewable energy research includes elements of Wind power, Mathematical optimization and Capital cost.
The Mathematical optimization study combines topics in areas such as Prediction interval and State.
His Energy management study combines topics in areas such as Ampacity, Control reconfiguration and Dispatchable generation.
Abdollah Kavousi-Fard works mostly in the field of Ampacity, limiting it down to concerns involving Automotive engineering and, occasionally, AC power.
Between 2019 and 2021, his most popular works were:
- Sensitivity Analysis of Renewable Energy Integration on Stochastic Energy Management of Automated Reconfigurable Hybrid AC–DC Microgrid Considering DLR Security Constraint (16 citations)
- A scenario-based approach for the design of Smart Energy and Water Hub (15 citations)
- Blockchain-Based Securing of Data Exchange in a Power Transmission System Considering Congestion Management and Social Welfare (11 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Electrical engineering
- Machine learning
His primary areas of investigation include Electric power system, Islanding, Control theory, Wind power and Artificial intelligence.
His studies deal with areas such as Optimization problem, Mathematical optimization and Energy storage as well as Electric power system.
His Wind power study which covers Solver that intersects with Microgrid.
Abdollah Kavousi-Fard interconnects Uncertainty quantification and Machine learning in the investigation of issues within Artificial intelligence.
His Spectral clustering study incorporates themes from AC power and Reliability.
His research in AC power tackles topics such as Ampacity which are related to areas like Renewable energy.
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